GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
64views this month
Decision brief
Laminar, or lmnr, is an open-source observability platform for AI agents, offering both a managed platform and self-hosting options via Docker Compose.
Good fit when
- Use lmnr when you need a comprehensive observability solution for AI agents that supports both self-hosting and a managed platform.
- Consider lmnr if you are working with TypeScript and Rust, as it is built with these languages and offers native support for them.
Avoid when
- Avoid lmnr if you require a platform that does not support self-hosting or if you prefer not to use Docker Compose for deployment.
- Do not use lmnr if you are looking for a solution that is not open-source or if you need a platform that is not licensed under Apache-2.0.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install lmnrHow it fits your stack(16)
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Evidence and technical details
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Overview
Laminar is an open-source observability platform designed for monitoring and evaluating AI agents. It supports self-hosting via Docker Compose and offers a managed platform for ease of use.
Capability facts
- Deploy
- Self-host
Source: dockerfile:docker-compose.yml · Sep 18, 2026
- Docker
- Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 18, 2026
- Languages
- typescript
Source: github.language · Sep 18, 2026
Categories
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README
Getting started The fastest and easiest way to get started is with our managed platform laminar.sh Self hosting with Docker compose Laminar is very easy to self host locally. For a quick start, clone the repo and start the services with docker compose: This will spin up a lightwe...
For agents
This page has a .md twin and JSON over the API.